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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Experience with Looker Data Studio (Google Data Studio) and/or similar tools to build dashboards (Tableau, PowerBi, etc. Google Analytics and Google Search Ads Certification.
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Experience using SEO tools (e.g., SEMRush, AHRefs, Google Ads, Optmyzer, Google Search Console), LinkedIn analytics, Data Studio reporting from Google, A/B testing software, and/or chatbot plugins.
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Experience with data visualization tools including Tableau, Google Data Studio, Domo, Excel, etc. Expertise with site analytics and social platforms including Adobe Analytics, Google Analytics, Facebook/Instagram, TikTok, and X.
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Familiarity with data visualization platforms like Tableau, Looker, and PowerBI, with a preference for Tableau proficiency. Design, develop, and maintain data infrastructure using Snowflake, Airflow, FiveTran, and DBT to support scalable and reliable data pipelines.
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Google Data Analytics Professional Certificate, Power BI Data Analyst Associate, AWS Certified Data Analytics, Enterprise Data Warehouse certifications, Palantir, Client Side performance metrics tools e.g.
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5+ years in Data Analysis, Business intelligence, analytics, and data engineering, with 3+ of those years in a Fortune 500 company. Senior Data Analyst – IT is a data driven leader who has a passion for data, analytics, and program execution with the willingness to dig into details, with the ability to assess the big picture and focus on process improvement.
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Experience with two or more:Data visualization tools such as Tableau, Datorama, Alteryx SQL, R, Python, or other advanced analytics software packages Concepts of database design and SQL Responsibilities As a Director on the Marketing Science team, you will lead the direction of an analytics program, manage a team, and deploy both strategic and campaign work.
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Strong technical skills necessary to perform advanced analytics: coding (e.g., R, Python, Scala), experience with data management and visualization tools (e.g., SQL, Tableau, Looker, Metabase, open source platforms), and experience performing machine-learned analysis with large datasets.
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3+ years of experience in consumer goods, retail, or syndicated data with a focus on category management, sales, business analytics, or shopper insights. Bachelor's degree in Business, Marketing, Management, Accounting, Data Analytics, or related field preferred or equivalent experience in lieu of degree.
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Data visualization tools such as Tableau, Datorama, Alteryx. Ad-serving and web analytics tools (DCM, DV360, IAS/Moat, Facebook Advanced Analytics, Google ADH, Google Analytics, Adobe, etc.
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Typically, a minimum of 8 years work experience with architecture in some of the following technology: Google Cloud Platform (GCP), Big Query, Power BI, ThoughtSpot, Looker, QlikView, Tableau, and Business Object.
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At least 4 years of work experience, preferably in internal audit, public accounting, information technology, information security or data analytics. Executes and / or leads engagements within one or more segments of the A&A Plan, ensuring achievement of objectives and use of data analytics and automation.
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Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling.
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Experience with data visualization tools (e.g. Tableau, Power BI) Assistant Vice President, Claims Analytics Data Engineer - Health Commercial Analytics. This position supports the flow of high quality and large quantity data into Commercial Analytics data science models, solutions, and analytics.
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